Displaying publications 81 - 100 of 433 in total

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  1. Sharif KM, Rahman MM, Azmir J, Khatib A, Sabina E, Shamsudin SH, et al.
    Biomed Chromatogr, 2015 Dec;29(12):1826-33.
    PMID: 26033701 DOI: 10.1002/bmc.3503
    Multivariate analysis of thin-layer chromatography (TLC) images was modeled to predict antioxidant activity of Pereskia bleo leaves and to identify the contributing compounds of the activity. TLC was developed in optimized mobile phase using the 'PRISMA' optimization method and the image was then converted to wavelet signals and imported for multivariate analysis. An orthogonal partial least square (OPLS) model was developed consisting of a wavelet-converted TLC image and 2,2-diphynyl-picrylhydrazyl free radical scavenging activity of 24 different preparations of P. bleo as the x- and y-variables, respectively. The quality of the constructed OPLS model (1 + 1 + 0) with one predictive and one orthogonal component was evaluated by internal and external validity tests. The validated model was then used to identify the contributing spot from the TLC plate that was then analyzed by GC-MS after trimethylsilyl derivatization. Glycerol and amine compounds were mainly found to contribute to the antioxidant activity of the sample. An alternative method to predict the antioxidant activity of a new sample of P. bleo leaves has been developed.
    Matched MeSH terms: Multivariate Analysis
  2. Shaikh Abdul Rahman S, Aziz Z
    J Clin Pharm Ther, 2020 Oct;45(5):946-958.
    PMID: 31925959 DOI: 10.1111/jcpt.13106
    WHAT IS KNOWN AND OBJECTIVE: Complementary and alternative medicine (CAM) is widely used worldwide for health maintenance, disease prevention and treatment. The objective of the study was to identify adverse drug reactions (ADR) associated with the use of CAM in Malaysia and factors which are associated with the more serious reactions.

    METHODS: All ADR associated with the use of CAM products (including health supplements) submitted to the Malaysian Centre for ADR Monitoring, National Pharmaceutical Regulatory Agency over a 15-year period were reviewed and analysed. Multivariate logistic regression analysis was performed to identify predictors of serious ADR.

    RESULTS AND DISCUSSION: From a total of 74 997 reports in the database, 930 (1.2%) involved CAM products, and 242 (26%) were serious with 36 deaths. About a third of the reports involved used CAM products for health maintenance. Most (78.1%) of the ADR reports implicated unregistered products with 16.7% confirmed to contain adulterants which were mainly dexamethasone. Of the 930 reports, the ADR involved skin and appendages disorders (18.4%) followed by liver and biliary system disorders (13.7%). The odds of someone experiencing serious ADR increased if the CAM products were used for chronic illnesses (odds ratio [OR] 1.99, confidence interval [CI] 1.46-2.71), having concurrent diseases (OR 1.51, CI 1.04-2.19) and taking concurrent drugs (OR 1.44, CI 1.03-2.02).

    WHAT IS NEW AND CONCLUSIONS: The prevalence of serious ADR associated with CAM products is high. Factors identified with serious ADR included ethnicity, CAM users with pre-existing diseases, use of CAM for chronic illnesses and concomitant use of CAM products with other drugs. The findings could be useful for planning strategies to institute measures to ensure safe use of CAM products.

    Matched MeSH terms: Multivariate Analysis
  3. Shaharir SS, Gafor AH, Said MS, Kong NC
    Int J Rheum Dis, 2015 Jun;18(5):541-7.
    PMID: 25294584 DOI: 10.1111/1756-185X.12474
    OBJECTIVE:
    Systemic lupus erythematosus (SLE) is a chronic autoimmune disease and glucocorticoid is the mainstay of treatment in SLE. The reported incidence of steroid-induced diabetes mellitus (SDM) ranged between 1-53%. We sought to investigate the prevalence and associated factors of SDM in patients with SLE.

    METHODOLOGY:
    A total of 100 SLE patients attending the Nephrology/SLE and Rheumatology Clinic, Universiti Kebangsaan Malaysia Medical Centre (UKMMC) who received corticosteroid treatment were recruited. The diagnosis of diabetes mellitus was based on the 2010 American Diabetes Association's criteria. Prevalent cases of SDM were also included. Statistical analysis was performed to determine the factors associated with SDM.

    RESULTS:
    Thirteen of them (13%) developed SDM, with the median onset of diagnosis from commencement of glucocorticoid treatment being 8 years (range 0.5-21 years). Although only seven Indians were recruited into the study, three of them (42.9%) had SDM compared to Malays (9.3%) and Chinese (12.8%) (P ≤ 0.05). Univariate and multivariate analysis showed that higher numbers of system or organ involvement in SLE, abdominal obesity, hypertriglyceridemia and daily prednisolone of ≥ 1 mg/kg/day were the important associated factors of SDM (P ≤ 0.05). Meanwhile, hydroxychloroquine (HCQ) use was associated with reduced SDM prevalence (P < 0.05).

    CONCLUSION:
    The prevalence of SDM among SLE patients was 13% and Indians were more prone to develop SDM compared to other races. Higher numbers of system involvement, abdominal obesity, hypertriglyceridemia and the use of oral prednisolone of ≥ 1 mg/kg/day were associated with SDM, while HCQ use potentially protects against SDM.

    © 2014 Asia Pacific League of Associations for Rheumatology and Wiley Publishing Asia Pty Ltd.

    KEYWORDS:
    SLE drug treatment; clinical aspects; systemic lupus erythematous
    Matched MeSH terms: Multivariate Analysis
  4. Shaharir SS, Ghafor AH, Said MS, Kong NC
    Lupus, 2014 Apr;23(4):436-42.
    PMID: 24399814 DOI: 10.1177/0961203313518624
    INTRODUCTION: Renal involvement is the most common serious complication in patients with systemic lupus erythematosus (SLE).
    OBJECTIVE: The objective of this article is to investigate and determine the associated factors of disease damage among lupus nephritis (LN) patients.
    METHODS: Medical records of LN patients who attended regular follow-up for at least one year in the Nephrology/SLE Clinic, Universiti Kebangsaan Malaysia Medical Centre (UKMMC), were reviewed. Their Systemic Lupus International Collaborating Clinics/American College of Rheumatology (SLICC/ACR) Damage Index scores were noted. Univariate analysis and multivariable regression analysis were performed to determine the independent factors of disease damage in LN.
    RESULTS: A total of 150 patients were included and their follow-up duration ranged from one to 20 years. Sixty (40%) LN patients had disease damage (SDI ≥1). In the univariate analysis, it was associated with age, longer disease duration, antiphospholipid syndrome (APS), higher maximum daily oral prednisolone dose (mg/day), lower mean C3 and C4, higher chronicity index and global sclerosis on renal biopsies (p < 0.05). Patients who received early (≤3 months after the SLE diagnosis) hydroxychloroquine (HCQ), optimum HCQ dose at 6.5 mg/kg/day and achieved early complete remission (CR) were less likely to have disease damage (p < 0.05). After adjustment for age, gender, disease duration and severity, multivariable regression analysis revealed that a higher maximum daily dose of oral prednisolone was independently associated with disease damage while early HCQ and CR were associated with lower disease damage.
    CONCLUSION: Higher maximum daily prednisolone dose predicted disease damage whereas treatment with early HCQ and early CR had a protective role against disease damage.
    KEYWORDS: Antiphospholipid syndrome; lupus nephritis; systemic lupus erythematosus

    Study site: Nephrology/SLE Clinic, Pusat Perubatan Universiti Kebangsaan Malaysia (PPUKM)
    Matched MeSH terms: Multivariate Analysis
  5. Shaharir SS, Chua SH, Mohd R, Mustafar R, Noh MM, Shahril NS, et al.
    PLoS One, 2021;16(3):e0248845.
    PMID: 33739994 DOI: 10.1371/journal.pone.0248845
    Avascular necrosis of bone (AVN) is increasingly being recognized as a complication of SLE and causes significant disability due to pain and mobility limitations. We studied the prevalence and factors associated with avascular necrosis (AVN) in a multiethnic SLE cohort. SLE patients who visited the outpatient clinic from October 2017 to April 2019 were considered eligible. Their medical records were reviewed to identify patients who developed symptomatic AVN, as confirmed by either magnetic resonance imaging or plain radiography. Subsequently, their SLE disease characteristics and treatment were compared with the characteristics of patients who did not have AVN. Multivariable logistic regression analyses were performed to determine the independent factors associated with AVN among the multiethnic SLE cohort. A total of 390 patients were recruited, and the majority of them were females (92.6%); the patients were predominantly of Malay ethnicity (59.5%), followed by Chinese (35.9%) and Indian (4.6%). The prevalence of symptomatic AVN was 14.1%, and the mean age of AVN diagnosis was 37.6 ± 14.4 years. Both univariate and multivariable logistic regression analyses revealed that a longer disease duration, high LDL-C (low density lipoprotein cholesterol), positive anti-cardiolipin (aCL) IgG and anti-dsDNA results, a history of an oral prednisolone dose of more than 30 mg daily for at least 4 weeks and osteoporotic fractures were significantly associated with AVN. On the other hand, hydroxychloroquin (HCQ), mycophenolate mofetil (MMF) and bisphosphonate use were associated with a lower risk of AVN. No associations with ethnicity were found. In conclusion, several modifiable risk factors were found to be associated with AVN, and these factors may be used to identify patients who are at high risk of developing such complications. The potential protective effects of HCQ, MMF and bisphosphonates warrant additional studies.
    Matched MeSH terms: Multivariate Analysis
  6. Shafiee MN, Ortori CA, Barrett DA, Mongan NP, Abu J, Atiomo W
    Int J Mol Sci, 2020 Jul 03;21(13).
    PMID: 32635401 DOI: 10.3390/ijms21134753
    Women with polycystic ovary syndrome (PCOS) are more likely to develop endometrial cancer (EC). The molecular mechanisms which increase the risk of EC in PCOS are unclear. Derangements in lipid metabolism are associated with EC, but there have been no studies, investigating if this might increase the risk of EC in PCOS. This was a cross-sectional study of 102 women in three groups of 34 (PCOS, EC and controls) at Nottingham University Hospital, UK. All participants had clinical assessments, followed by obtaining plasma and endometrial tissue samples. Lipidomic analyses were performed using liquid chromatography (LC) coupled with high resolution mass spectrometry (HRMS) and the obtained lipid datasets were screened using standard software and databases. Using multivariate data analysis, there were no common markers found for EC and PCOS. However, on univariate analyses, both PCOS and EC endometrial tissue samples showed a significant decrease in monoacylglycerol 24:0 and capric acid compared to controls. Further studies are required to validate these findings and investigate the potential role of monoacylglycerol 24:0 and capric acid in the link between PCOS with EC.
    Matched MeSH terms: Multivariate Analysis
  7. Selvarajah S, Haniff J, Kaur G, Hiong TG, Cheong KC, Lim CM, et al.
    Eur J Prev Cardiol, 2013 Apr;20(2):368-75.
    PMID: 22345688 DOI: 10.1177/2047487312437327
    BACKGROUND: This study aimed to estimate the prevalence of cardiovascular risk factors and its clustering. The findings are to help shape the Malaysian future healthcare planning for cardiovascular disease prevention and management.
    METHODS: Data from a nationally representative cross-sectional survey was used. The survey was conducted via a face-to-face interview using a standardised questionnaire. A total of 37,906 eligible participants aged 18 years and older was identified, of whom 34,505 (91%) participated. Focus was on hypertension, hyperglycaemia (diabetes and impaired fasting glucose), hypercholesterolaemia and central obesity.
    RESULTS: Overall, 63% (95% confidence limits 62, 65%) of the participants had at least one cardiovascular risk factor, 33% (32, 35%) had two or more and 14% (12, 15%) had three risk factors or more. The prevalence of hypertension, hyperglycaemia, hypercholesterolaemia and central obesity were 38%, 15%, 24% and 37%, respectively. Women were more likely to have a higher number of cardiovascular risk factors for most age groups; adjusted odds ratios ranging from 1.1 (0.91, 1.32) to 1.26 (1.12, 1.43) for the presence of one risk factor and 1.07 (0.91, 1.32) to 2.00 (1.78, 2.25) for two or more risk factors.
    CONCLUSIONS: Cardiovascular risk-factor clustering provides a clear impression of the true burden of cardiovascular disease risk in the population. Women displayed higher prevalence and a younger age shift in clustering was seen. These findings signal the presence of a cardiovascular epidemic in an upcoming middle-income country and provide evidence that drastic measures have to be taken to safeguard the health of the nation.
    Study name: National Health and Morbidity Survey (NHMS-2006)
    Matched MeSH terms: Multivariate Analysis
  8. Selvarajah S, Uiterwaal CS, Haniff J, van der Graaf Y, Visseren FL, Bots ML, et al.
    Eur J Clin Invest, 2013 Feb;43(2):198-207.
    PMID: 23301500 DOI: 10.1111/eci.12035
    BACKGROUND:
    Renal impairment and type 2 diabetes mellitus (DM) are well-known independent risk factors for mortality. The evidence of their combined effects on mortality is unclear, but of importance because it may determine aggressiveness of treatment. This study sought to assess and quantify the effect modification of diabetes on renal impairment in its association with mortality.

    MATERIALS AND METHODS:
    Patients with cardiovascular disease or at high risk, recruited in the Second Manifestations of ARTerial disease cohort study, were selected. A total of 7135 patients were enrolled with 33 198 person-years of follow-up. Renal impairment was defined by albuminuria status and estimated glomerular filtration rate (eGFR). Outcome was all-cause mortality.

    RESULTS:
    Mortality increased progressively with each stage of renal impairment, for both albuminuria status and eGFR, for diabetics and non-diabetics. There was no effect modification by diabetes on mortality risk due to renal impairment. The relative excess risk due to interaction (RERI) for DM and microalbuminuria was 0·21 (-0·11, 0·52), for overt proteinuria -1·12 (-2·83, 0·59) and for end-stage renal failure (ESRF) 0·32 (-3·65, 4·29). The RERI for DM with eGFR of 60-89 mL/min/1·73 m(2) was -0·31(-0·92, 0·32), for eGFR of 30-59 mL/min/1·73 m(2) -0·07 (-0·76, 0·62) and for eGFR of < 30 mL/min/1·73 m(2) 0·38 (-0·85, 1·61).

    CONCLUSIONS:
    Type 2 diabetes mellitus does not modify nor increase the risk relation between all-cause mortality and renal impairment. These findings suggest that the hallmark for survival is the prevention and delay in progression of renal impairment in patients with cardiovascular disease.
    Matched MeSH terms: Multivariate Analysis
  9. Saxena N, Hartman M, Yip CH, Bhoo-Pathy N, Khin LW, Taib NA, et al.
    PLoS One, 2012;7(9):e45809.
    PMID: 23029254 DOI: 10.1371/journal.pone.0045809
    Lymph node ratio (LNR, i.e. the ratio of the number of positive nodes to the total number of nodes excised) is reported to be superior to the absolute number of nodes involved (pN stage) in classifying patients at high versus low risk of death following breast cancer. The added prognostic value of LNR over pN in addition to other prognostic factors has never been assessed.
    Matched MeSH terms: Multivariate Analysis
  10. Sathasivam J, Kamaruzzaman SB, Hairi F, Ng CW, Chinna K
    Asia Pac J Public Health, 2015 Nov;27(8 Suppl):52S-61S.
    PMID: 25902935 DOI: 10.1177/1010539515583332
    In the past decade, the population in Malaysia has been rapidly ageing. This poses new challenges and issues that threaten the ability of the elderly to independently age in place. A multistage cross-sectional study on 789 community-dwelling elderly individuals aged 60 years and above was conducted in an urban district in Malaysia to assess the geriatric syndrome of frailty. Using a multidimensional frailty index, we detected 67.7% prefrail and 5.7% frail elders. Cognitive status was a significant correlate for frailty status among the respondents as well as those who perceived their health status as very poor or quite poor; but self-rated health was no longer significant when controlled for sociodemographic variables. Lower-body weakness and history of falls were associated with increasing frailty levels, and this association persisted in the multivariate model. This study offers support that physical disability, falls, and cognition are important determinants for frailty. This initial work on frailty among urban elders in Malaysia provides important correlations and identifies potential risk factors that can form the basis of information for targeted preventive measures for this vulnerable group in their prefrail state.
    Matched MeSH terms: Multivariate Analysis
  11. Sathasivam HP, Davies GR, Boyd NM
    Head Neck, 2018 Jan;40(1):46-54.
    PMID: 29149496 DOI: 10.1002/hed.24907
    BACKGROUND: Osteoradionecrosis of the jaw (ORNJ) is a well-recognized complication of radiotherapy. The purpose of this study was to assess predictive factors for the development of ORNJ.

    METHODS: A retrospective study of 325 patients with head and neck squamous cell carcinoma (HNSCC) treated at one institution between January 1, 1999, and December 31, 2008, was conducted. Outcome measure was the presence/absence of ORNJ. Time to event was recorded and Cox proportional hazard regression analysis was used to determine statistically significant predictive factors.

    RESULTS: Fifty-nine patients had ORNJ. Statistical analysis using Cox regression analysis identified several statistically significant variables: dentoalveolar surgery; peri-resective surgery of the jaw; continued tobacco usage after radiotherapy, diabetes mellitus type 2 (DM2); and total radiation dose.

    CONCLUSION: Patients at greater risk of developing ORNJ can be identified and measures can be instituted to reduce its incidence and expedite management when it does occur.

    Matched MeSH terms: Multivariate Analysis
  12. Saokaew S, Kanchanasuwan S, Apisarnthanarak P, Charoensak A, Charatcharoenwitthaya P, Phisalprapa P, et al.
    Liver Int, 2017 Oct;37(10):1535-1543.
    PMID: 28294515 DOI: 10.1111/liv.13413
    BACKGROUND & AIMS: Non-alcoholic fatty liver disease (NAFLD) can progress from simple steatosis to hepatocellular carcinoma. None of tools have been developed specifically for high-risk patients. This study aimed to develop a simple risk scoring to predict NAFLD in patients with metabolic syndrome (MetS).

    METHODS: A total of 509 patients with MetS were recruited. All were diagnosed by clinicians with ultrasonography-confirmed whether they were patients with NAFLD. Patients were randomly divided into derivation (n=400) and validation (n=109) cohort. To develop the risk score, clinical risk indicators measured at the time of recruitment were built by logistic regression. Regression coefficients were transformed into item scores and added up to a total score. A risk scoring scheme was developed from clinical predictors: BMI ≥25, AST/ALT ≥1, ALT ≥40, type 2 diabetes mellitus and central obesity. The scoring scheme was applied in validation cohort to test the performance.

    RESULTS: The scheme explained, by area under the receiver operating characteristic curve (AuROC), 76.8% of being NAFLD with good calibration (Hosmer-Lemeshow χ2 =4.35; P=.629). The positive likelihood ratio of NAFLD in patients with low risk (scores below 3) and high risk (scores 5 and over) were 2.32 (95% CI: 1.90-2.82) and 7.77 (95% CI: 2.47-24.47) respectively. When applied in validation cohort, the score showed good performance with AuROC 76.7%, and illustrated 84%, and 100% certainty in low- and high-risk groups respectively.

    CONCLUSIONS: A simple and non-invasive scoring scheme of five predictors provides good prediction indices for NAFLD in MetS patients. This scheme may help clinicians in order to take further appropriate action.

    Matched MeSH terms: Multivariate Analysis
  13. Santiago KAA, Edrada-Ebel R, Dela Cruz TEE, Cheow YL, Ting ASY
    Biology (Basel), 2021 Mar 04;10(3).
    PMID: 33806264 DOI: 10.3390/biology10030191
    Three species of the lichen Usnea (U. baileyi (Stirt.) Zahlbr., U. bismolliuscula Zahlbr. and U. pectinata Stirt.) and nine associated endolichenic fungi (ELF) were evaluated using a metabolomics approach. All investigated lichen crude extracts afforded antibacterial activity against Staphylococcus aureus (minimum inhibitory concentration (MIC): 0.0625 mg/mL), but none was observed against Escherichia coli, while the ELF extract Xylaria venustula was found to be the most active against S. aureus (MIC: 2.5 mg/mL) and E. coli (MIC: 5 mg/mL). X. venustula was fractionated and tested for to determine its antibacterial activity. Fractions XvFr1 to 5 displayed bioactivities against both test bacteria. Selected crude extracts and fractions were subjected to metabolomics analyses using high-resolution LC-MS. Multivariate analyses showed the presence of five secondary metabolites unique to bioactive fractions XvFr1 to 3, which were identified as responsible for the antibacterial activity of X. venustula. The p-values of these metabolites were at the margin of significance level, with methyl xylariate C (P_60) being the most significant. However, their high variable importance of projection (VIP) scores (>5) suggest these metabolites are potential diagnostic metabolites for X. venustula for "dual" bioactivity against S. aureus and E. coli. The statistical models also showed the distinctiveness of metabolites produced by lichens and ELF, thus supporting our hypotheses of ELF functionality similar to plant endophytes.
    Matched MeSH terms: Multivariate Analysis
  14. Sanders KL, Malhotra A, Thorpe RS
    J Evol Biol, 2004 Jul;17(4):721-31.
    PMID: 15271071
    We analyse molecular and phenotypic evolution in a group of taxonomically problematic Indomalayan pitvipers, the Trimeresurus sumatranus group. Mitochondrial DNA sequencing provides a well-resolved phylogeny, with each species representing a distinct lineage. Multivariate morphological analysis reveals a high level of phenotypic differentiation, which is congruent between the sexes but does not reflect phylogenetic history. An adaptive explanation for the observed pattern of differentiation is supported by independent contrasts analysis, which shows significant correlations between current ecology and the characters that most account for the variation between taxa, including those that are presently used to identify the species. Reduced precipitation and altitude, and increased temperature, are correlated with higher numbers of scales on the head, body and tail. It is hypothesized that scale number plays an important role in heat and water exchange by influencing the area of exposed of interstitial skin, and that colour pattern variation reflects selection pressures involving camouflage and thermoregulation. Ecological convergence in traits used for classification is found to have important implications for species identification where taxa are distributed over varying environments.
    Matched MeSH terms: Multivariate Analysis
  15. Sam IC, Abdul-Murad A, Karunakaran R, Rampal S, Chan YF, Nathan AM, et al.
    Int J Infect Dis, 2010 Sep;14 Suppl 3:e36-40.
    PMID: 20153233 DOI: 10.1016/j.ijid.2009.10.005
    OBJECTIVES: The clinical impact of seasonal influenza is understudied in tropical countries. The aim of this study was to describe the clinical features and seasonal pattern of influenza in children hospitalized in Malaysia, and to identify predictors of severe disease.
    METHODS: Children hospitalized with community-acquired, laboratory-confirmed influenza at a teaching hospital in Kuala Lumpur, Malaysia during 2002-2007 were identified retrospectively. Clinical data were collected, and predictors of severe disease were identified by multivariate logistic regression. All influenza cases from 1982 to 2007 were also analyzed for seasonal patterns.
    RESULTS: A total of 132 children were included in the study, 48 (36.4%) of whom had underlying medical conditions. The mean age was 2.5 years and 116 (87.9%) were <5 years old. The most common presenting features were fever or history of fever, cough, rhinitis, vomiting, and pharyngitis. Severe influenza was seen in 16 patients (12.1%; nine previously healthy), including 12 (9.1%; eight previously healthy) requiring intensive care. There were three (2.3%) deaths. Severe disease was associated with age <12 months, female sex, and absence of rhinitis on admission. Influenza was seen year-round, with peaks in November-January and May-July.
    CONCLUSIONS: Seasonal influenza has a considerable impact on children hospitalized in Malaysia, in both the healthy and those with underlying medical conditions.

    Study site: University Malaya Medical Centre (UMMC)
    Matched MeSH terms: Multivariate Analysis
  16. Saleh MSM, Siddiqui MJ, Mat So'ad SZ, Roheem FO, Saidi-Besbes S, Khatib A
    Molecules, 2018 06 13;23(6).
    PMID: 29899270 DOI: 10.3390/molecules23061434
    Salak fruit (Salacca zalacca), commonly known as snake fruit, is used indigenously as food and for medicinal applications in Southeast Asia. This study was conducted to evaluate the α-glucosidase inhibitory activity of salak fruit extracts in correlation to its Fourier transform infrared spectroscopy (FT-IR) fingerprint, utilizing orthogonal partial least square. This calibration model was applied to develop a rapid analytical method tool for quality control of this fruit. A total of 36 extracts prepared with different solvent ratios of ethanol⁻water (100, 80, 60, 40.20, 0% v/v) and their α-glucosidase inhibitory activities determined. The FT-IR spectra of ethanol⁻water extracts measured in the region of 400 and 4000 cm−1 at a resolution of 4 cm−1. Multivariate analysis with a combination of orthogonal partial least-squares (OPLS) algorithm was used to correlate the bioactivity of the samples with the FT-IR spectral data. The OPLS biplot model identified several functional groups (C⁻H, C=O, C⁻N, N⁻H, C⁻O, and C=C) which actively induced α-glucosidase inhibitory activity.
    Matched MeSH terms: Multivariate Analysis
  17. Saksit N, Tassaneeyakul W, Nakkam N, Konyoung P, Khunarkornsiri U, Chumworathayi P, et al.
    Pharmacogenet Genomics, 2017 07;27(7):255-263.
    PMID: 28509689 DOI: 10.1097/FPC.0000000000000285
    BACKGROUND: Allopurinol is one of the most common causes of severe cutaneous adverse drug reactions (SCARs) including drug reactions with eosinophilia and systemic symptoms (DRESS), Stevens-Johnson syndrome (SJS), and toxic epidermal necrolysis (TEN). This study identified the risk factors associated with the development of allopurinol-induced SCARs in a Thai population.

    PATIENTS AND METHODS: Eighty-six allopurinol-induced SCARs (i.e. 19 DRESS and 67 SJS/TEN) and 182 allopurinol-tolerant patients were enrolled in the study. The HLA-B*58:01 allele was determined. Clinical and medicinal data were collected.

    RESULTS: Results from multivariate analysis showed that only the HLA-B*58:01 and female sex were identified as risk factors of allopurinol-induced SCARs in this Thai population. Patients who carried the HLA-B*58:01 allele were at a higher risk of allopurinol-induced DRESS [odds ratio (OR)=149.2, 95% confidence interval (CI)=24.0-∞, P<1.00×10]. Similar results were observed in allopurinol-induced SJS/TEN (OR=175.0, 95% CI=44.3-690.9, P=1.69×10). The risk of allopurinol-induced SCARs in women was higher than that in men (OR=4.6, 95% CI=1.4-15.6, P=1.44×10). The overall mortality rate of allopurinol-induced SCARs was 11.39% and a higher mortality rate was observed in elderly women.

    CONCLUSION: Among the risk factors identified, the HLA-B*58:01 allele had the greatest impact on the development of both phenotypes of allopurinol-induced SCARs in this studied Thai population. In case HLA-B*58:01 genotyping cannot be accessed, close monitoring of allopurinol usage, especially in elderly women with impaired renal function, is necessary to reduce the mortality rate of these life-threatening SCARs.

    Matched MeSH terms: Multivariate Analysis
  18. Saif-Ali R, Harun R, Al-Jassabi S, Wan Ngah WZ
    Acta Biochim. Pol., 2011;58(2):179-86.
    PMID: 21633728
    This study aimed to investigate the associations of hepatocyte nuclear factor 4 (HNF4) alpha single nucleotide polymorphisms (SNPs) and haplotype with insulin resistance and metabolic syndrome parameters. Nine SNPs spanning the HNF4 alpha P2 promoter (rs4810424, rs1884613 and rs1884614) and coding region (rs2144908, rs6031551, rs6031552, rs1885088, rs1028583 and rs3818247) were genotyped in 160 subjects without diabetes or metabolic syndrome. The HNF4 alpha P2 promoter SNPs rs4810424, rs1884613 and rs1884614 were associated with insulin resistance (p = 0.017; 0.037; 0.024) and body mass index (BMI) (p = 0.03; 0.035; 0.039). The intron 1D SNP rs2144908 was associated with high-density lipoprotein cholesterol (HDLc) (p = 0.020) and the intron 9 SNP rs3818247 showed association with systolic (p = 0.02) and diastolic (p = 0.034) blood pressure. HNF4 alpha common haplotype CCCGTC associated with higher insulin resistance (p = 0.022), fasting blood glucose (FBG) (p = 0.035) and lower HDLc (p = 0.001). In conclusion, subjects with HNF4 alpha P2 variants and haplotypes have been shown to have a higher insulin resistance and are therefore at a higher risk for developing type 2 diabetes mellitus.
    Matched MeSH terms: Multivariate Analysis
  19. Saidon Amri, Aris Fazil Ujang, Mohd Rozilee Wazir Norjali Wazir, Ahmad Naim Ismail
    Movement Health & Exercise, 2012;1(1):75-92.
    MyJurnal
    The purpose of this study was to investigate the relationship between anthropometric and motor performance and to determine the contribution of combined anthropometric dimensions on motor performance. A total of 225 male (n = 138) and female (n = 87) Malaysian university athletes aged
    between 18 and 28 years (M = 22.1, SD = 1.8) from 18 different team related sports and individual sports participated in this study. The subjects underwent anthropometric measurements (height, weight, BMI,% body fat, waist-hip ratio) and motor performance tests (grip strength - GS, back
    strength - BS, 7 level sit-up - SU7, 10m sprint - S10, 30m sprint - S30, sit and reach - SR, trunk extension test - TE, SEMO agility test - SEMO, vertical jump - VJ, standing long jump - SLJ, reaction time (audio) - RTa, reaction time (visual) - RTv, bleep test - Bleep, leg strength - LS, stork test– ST, and push-ups - PU). Descriptive analysis showed that anthropometric and performance difference between sports reflected the needs and requirements of the sports. Multivariate Analysis of Covariance (MANCOVA) and multiple regression analysis showed that height, weight, BMI, % body fat, waist-hip ratio contributed positively or negatively on specific components of motor performance. Among male athletes, all anthropometric were found to be a significant contributor to strength, vertical jump, cardiovascular endurance, while among females, only % body fat and WHR contributed significantly to abdominal strength, vertical jump and trunk extension. Findings of the study suggested that anthropometric characteristics that contributed to motor performance should provide a scientific rationale in selecting and training of athletes.
    Matched MeSH terms: Multivariate Analysis
  20. Sahril N, Shahein NA, Yoep N, Mahmud NA, Sooryanarayana R, Maw Pin T, et al.
    Geriatr Gerontol Int, 2020 Dec;20 Suppl 2:33-37.
    PMID: 33370863 DOI: 10.1111/ggi.13980
    AIM: Falls are a common problem among older people, leading to major morbidity and increased mortality. The study aimed to determine the prevalence of falls among older persons in Malaysia and its associated factors.

    METHODS: Data were obtained from the National Health and Morbidity Survey 2018 (NHMS 2018), a cross-sectional study using stratified cluster sampling design. Older persons were defined as aged ≥60 years in this study. Descriptive and logistic regression analyses were conducted using SPSS version 25.0.

    RESULTS: Overall, 14.1% (95% confidence interval [CI]: 12.46, 15.84) of older persons reported having experienced at least one fall during the past 12 months. Univariate analyses revealed an association between the history of falls with not being employed (odds ratio [OR]: 1.35 [95% CI: 1.03, 1.77]), diabetes mellitus (OR: 1.65 [95% CI: 1.33, 2.04]), limitation in activities of daily living (ADL) (OR: 1.90 [95% CI: 1.43, 2.54]) or instrumental ADL (OR: 1.47 [95% CI: 1.16, 1.84]). Multiple logistic regression revealed that falls were positively associated with those who had diabetes mellitus (OR: 1.55 [95% CI: 1.23, 1.94]) and limitation in ADL (OR: 1.56 [95% CI: 1.14, 2.15]); 43.9% of falls occurred outdoors.

    CONCLUSION: One in six older Malaysian people experience at least one fall over a 12-month period. Diabetes mellitus and limitation in ADL were the factors associated with falls among older persons. A comprehensive and targeted program designed to reduce risk of falls is urgently needed. Future research should identify suitable programs for our setting to reduce the potential society burden of falls in older Malaysians. Geriatr Gerontol Int 2020; 20: 33-37.

    Matched MeSH terms: Multivariate Analysis
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